Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/395
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Conference Object Citation - WoS: 1Citation - Scopus: 1Design and Optimization of an Outer Rotor Spoke Type PMSM With Improved Saliency for a Lightweight Racing Vehicle(IEEE, 2024-11-12) Karatepe, Hasan Can; Tekgun, Burak; Tekun, Diclem; Tekgun, DidemThis paper presents the design and optimization of an outer rotor spoke-type permanent magnet synchronous motor, aimed at achieving high torque density. The improvement is accomplished by enhancing the saliency through a center shift of the rotor arc, while simultaneously minimizing cogging torque and torque ripple. The proposed design is optimized for an electro-mobile that will participate in TEKNOFEST's "Efficiency Challenge". A vehicle dynamics simulation with the parameters of the designed vehicle was done under the "New European Driving Cycle" (NEDC) to determine the required torque and speed values using MATLAB's "Virtual Vehicle Composer" application. The multi-objective differential evolution (MODE) algorithm was chosen for optimization and further altered for maximum torque per ampere (MTPA) angle sweep, since each optimization individual would have a different MTPA angle. The optimization was conducted with 40 generations and 522 individual designs. An optimal solution from the Pareto-Front was selected and its performance was investigated using the 2D finite element analysis (FEA).Conference Object Citation - Scopus: 11Design Optimization of an Outer Rotor PMSM for a Drive Cycle Using an Improved Mode Algorithm for a Lightweight Racing Vehicle(Institute of Electrical and Electronics Engineers Inc., 2020-10-05) Coşdu, Muhammed Muhsin; Hacan, Ahmet Furkan; Tekgun, BurakHub motors are widely used for light-weight electric drives. The aim of this paper is to design a highly efficient out-runner permanent magnet synchronous motor (PMSM) for a specific drive cycle in order to use it in an electro mobile contest called the 'Efficiency Challenge'. A multiobjective differential evaluation (MODE) algorithm is used to obtain a variety of different design options. The MODE algorithm is altered to incur less computational cost and yield better-distributed results in a comparison with traditional MODE. The alteration is performed in five different aspects: Pareto Front, Selection Algorithm, Population Size, Scaling Factor, and Rectification. The objectives for differential evaluation optimization are minimizing the motor mass and maximizing efficiency for the target drive cycle. The voltage limit and the torque ripple are defined as constraints. The optimization algorithm is written in MATLAB and the finite element analysis (FEA) is conducted in ANSYS/Maxwell 2D. The modified MODE algorithm is optimized for the PMSM with 100 generations and 3282 candidate designs. A well-distributed Pareto optimal solution set is obtained, and a suitable design is selected to be manufactured. © 2022 Elsevier B.V., All rights reserved.Conference Object Citation - WoS: 10Citation - Scopus: 11Design Optimization of an Outer Rotor Pmsm for a Drive Cycle Using an Improved Mode Algorithm for a Lightweight Racing Vehicle(IEEE, 2020-10-05) Cosdu, Muhammed Muhsin; Hacan, Ahmet Furkan; Tekgun, BurakHub motors are widely used for light-weight electric drives. The aim of this paper is to design a highly efficient out-runner permanent magnet synchronous motor (PMSM) for a specific drive cycle in order to use it in an electro mobile contest called the "Efficiency Challenge". A multiobjective differential evaluation (MODE) algorithm is used to obtain a variety of different design options. The MODE algorithm is altered to incur less computational cost and yield better-distributed results in a comparison with traditional MODE. The alteration is performed in five different aspects: Pareto Front, Selection Algorithm, Population Size, Scaling Factor, and Rectification. The objectives for differential evaluation optimization are minimizing the motor mass and maximizing efficiency for the target drive cycle. The voltage limit and the torque ripple are defined as constraints. The optimization algorithm is written in MATLAB and the finite element analysis (FEA) is conducted in ANSYS/Maxwell 2D. The modified MODE algorithm is optimized for the PMSM with 100 generations and 3282 candidate designs. A well-distributed Pareto optimal solution set is obtained, and a suitable design is selected to be manufactured.